The tool, developed in collaboration with the University Hospital Zurich, is able to detect these anomalies with high precision and is anticipated to improve diagnosis and treatment of this rare condition significantly. These anomalies are frequently overlooked as benign due to their rarity and limited knowledge of their characteristics.
Dr. Gräni and his team, researchers from the Inselspital and the University of Bern, recently published their study in Nature Communications. The full article can be accessed here:
Shiri, I., Baj, G., Mohammadi Kazaj, P. et al. AI-based detection and classification of anomalous aortic origin of coronary arteries using coronary CT angiography images. Nat Commun 16, 3095 (2025). 10.1038/s41467-025-58362-9
This study is exemplary of the impact digital medicine can have on the improvement of patient care. In order to further test and improve the AI-model, additional studies in a real clinical environment are necessary. ARTORG's research group Cardiovascular Engineering (CVE), led by Prof. Dr. Dominik Obrist, is developing a digital, artificial twin for such coronary anomalies in collaboration with Dr. Gräni and his team, based on interventional measurement data collected in collaboration with Prof. Lorenz Räber, Director of the Catheterization Laboratory at Inselspital.
The full media release is available here: Media Release University of Bern, 03 April 2025.
You can learn more about the project in the Insel Gruppe's ExpertTalk with Dr. Gräni here: #ExpertTalk: KI erkennt Anomalien der Herzkranzgefässe
